Back
Tier-1 brand, metro location, mid-level generalist title, and broad skill requirements create high applicant competition.
Strong platform and AI focus increases domain specificity but core engineering skills remain transferable.
Explicit 3+ years, mandatory distributed-systems, cloud, containerization, and AI production experience tighten shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Build and maintain the core full-stack orchestration engine integrating AI agents, robots, and human workflows for enterprise automation.
Develop production-quality code daily, leveraging AI coding assistants and tools to accelerate and improve software delivery.
Design and measure system reliability and customer impact using real-world data; rapidly prototype and iterate solutions with customer feedback.
Bachelor's or Master's degree in Engineering, Computer Science or equivalent experience.
Minimum 3 years of software engineering experience with focus on distributed systems and backend architecture.
Proficiency in system-level languages such as Javascript, C#, or Java; full-stack experience including frontend frameworks like React and backend services.
Experience with cloud platforms (Azure, AWS, GCP), containerization (Docker, Kubernetes), and AI coding tools (GitHub Copilot, Claude, etc.).
Experienced building production AI systems involving LLMs, multi-agent orchestration, and evaluation frameworks.
Comfortable working across frontend and backend stack, quickly prototyping and iterating in ambiguous environments.
Background or strong interest in healthcare, finance, or procurement tech systems is a plus.